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10,000+

Business jobs in Singapore

Senior Scientist

ZENITH INFOTECH (S) PTE LTD.

Singapore
On-site
SGD 70,000 - 90,000
3 days ago
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Lead Research Engineer

RMA CONSULTANTS PTE LTD

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
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CRM Executive

JIAHUA PACIFIC (SINGAPORE) PTE. LTD.

Singapore
On-site
SGD 45,000 - 70,000
3 days ago
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AI/ML Engineer (ARTIFICIAL INTELLIGENCE SPECIALIST)

REOLINK TECHNOLOGY PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Head of Mergers & Acquisitions (Enterprise)

RECRUIT AVENUE PTE. LTD.

Singapore
On-site
SGD 150,000 - 250,000
3 days ago
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Senior Software Engineer

CLICKHOUSE PTE. LTD.

Singapore
On-site
SGD 100,000 - 150,000
3 days ago
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SAFETY COORDINATOR

QI DIAN ENGINEERING PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Senior / Engineer, HIG-HBM Product Engineering (Media Health Reliability)

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Singapore
On-site
SGD 80,000 - 110,000
3 days ago
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AMACHA Store Manager/Assistant Store Manager

AMACHA CHAPTER ONE PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
3 days ago
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Business Development and Account Manager

HAFLONG TEA PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
3 days ago
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SALES SUPERVISOR

TNS NAHA PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
3 days ago
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Business Development Executive

MECH-ANN CONSTRUCTION & MAINTENANCE PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Sales Executives- 0115

THE SUPREME HR ADVISORY PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Vice President, Construction

Marsh & McLennan Companies

Singapore
Hybrid
SGD 80,000 - 120,000
3 days ago
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Assistant Lead Engineer - Incident Management (SRM)

SYNAPXE PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
3 days ago
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Admin Assistant

PEOPLE PROFILERS PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
3 days ago
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Process Expert

ADECCO PERSONNEL PTE LTD

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
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Finance Manager

CHINA OFFSHORE OIL (SINGAPORE) INTERNATIONAL PTE LTD

Singapore
On-site
SGD 80,000 - 120,000
3 days ago
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MARKETING ASSISTANT MANAGER

TNS NAHA PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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TRANSPORT OPERATIONS MANAGER

ARASAN LOGISTICS & SERVICES PTE. LTD.

Singapore
On-site
SGD 45,000 - 60,000
3 days ago
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Financial Controller

HDI GLOBAL SE SINGAPORE

Singapore
On-site
SGD 100,000 - 130,000
3 days ago
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Finance Officer | Govt Sector | West |Onboarding in Mar 2026

RMA CONTRACTS PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Technical Account Manager

AIRWALLEX (SINGAPORE) PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
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Senior Accounting Officer

TASTE OF CHING PTE. LTD.

Singapore
On-site
SGD 50,000 - 80,000
3 days ago
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Business Operations and Development Executive

LEARNING POINT KIDS PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
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Senior Scientist
ZENITH INFOTECH (S) PTE LTD.
Singapore
On-site
SGD 70,000 - 90,000
Full time
3 days ago
Be an early applicant

Job summary

A leading technology firm in Singapore seeks a researcher to lead AI research for enterprise multi-resource planning. The successful candidate will have a PhD and over 3 years of post-PhD experience in operations research or AI. Responsibilities include developing algorithms and managing R&D roadmap to influence industry solutions. Excellent programming skills in Python are essential, and familiarity with C# .NET is advantageous. A proactive attitude and ability to collaborate are required.

Qualifications

  • PhD in AI, Computer Science, Operations Research, or related fields focusing on simulation or optimisation.
  • Over 3 years of post-PhD research experience in relevant areas.
  • Strong background in programming and algorithm development in Python.

Responsibilities

  • Lead research in optimisation algorithms and AI for resource planning.
  • Design algorithms to solve operational problems and perform benchmarking.
  • Work with engineers to deploy research outcomes into industrial applications.

Skills

AI
Operations Research
Machine Learning
Programming in Python
Project Management
Numerical Optimisation

Education

PhD in AI, Computer Science, or related disciplines

Tools

Python (data science and optimisation libraries)
C# .NET
Job description

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

EA Licence No: 20S0237

Job Overview

You will lead and conduct research in modelling, optimisation, and AI to solve complex industry challenges in the domain of enterprise multi-resource planning. You are expected to drive scientific advances in operations research with the goal of translating innovations into impactful industry solutions for some of the largest MNCs and local companies. The role is a unique intersection of research, deployment-focused algorithm design, and business relevance.

Role Responsibilities
  • Lead research in rapid simulations, optimisation algorithms, and AI-enhanced workflows for enterprise multi-resource planning, primarily for the topics of production scheduling, operation planning, capacity planning, and sourcing & inventory analytics.
  • Design practical algorithms to solve industry-inspired operational problems, performing solution benchmarking and discover novel market leading algorithms.
  • Work with research engineers to translate research outcomes into deployable solutions for industrial applications.
  • Formulate cutting edge scientific research directions and develop innovative research / project proposals aligned with industry needs.
  • Drive competitive research funding proposals and collaborations with industry and academic partners (IHLs, other research institutes etc.).
  • Contribute to the development of the company's R&D roadmap in enterprise optimisation.
  • Publish at leading international academic or industrial journals and conferences to contribute to the company's reputation as a leading R&D organisation.
  • Mentor junior researchers in scientific methods and research professionalism.
Qualifications
  • PhD in AI, Computer Science, Operations Research, or related disciplines with a clear emphasis on simulation, optimisation, machine learning, or data science.
  • Deep understanding of production scheduling, operations planning, capacity planning, or sourcing & inventory analytics in the context of manufacturing.
  • Strong background in modelling (e.g. discrete-event simulations), numerical optimisation (exact methods, meta-heuristics, surrogate-model-assisted methods) and AI as applied to solving various operations research problems. Experience with industry problems under real-world conditions is particularly sought after.
  • Over 3 years of experience in post-PhD research.
  • Demonstrated leadership or project management in relevant areas. Experience in managing project delivery teams would be highly advantageous.
  • Proven expertise in programming and algorithm development in Python (with all the associated data science and optimisation libraries). C# .NET, software engineering, and productisation experience would be advantageous.
  • A track record of publications in top-tier journals and conferences.
  • Excellent verbal and written communication skills, adaptable to various technical and non-technical contexts: research conferences, business presentations, and software development teams.
  • Positive, proactive attitude, with the ability to influence and collaborate effectively across multiple stakeholders.
Application

Please send your latest CV in MS Word format to jennifer@zenithinfotech.com.sg

Appreciate the interest of all applicants; however only shortlisted candidates will be notified.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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